Jeff Huget

Data is at the heart of every AI breakthrough. Yet, managing it effectively at scale remains a challenge, especially for cloud providers driving innovation and growth. That's where Dell #PowerScale steps in. Certified as an NVIDIA Cloud Partner for High Performance Storage, PowerScale delivers scalable, high-performance storage solutions tailored for AI workloads. 🚀 Explore how this partnership is making AI readiness a reality for cloud providers. 👉 Read the blog here: https://del.ly/60434tvJV #iwork4dell

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In a first-of-its-kind clinical trial, UCLA scientists have shown it’s possible to reprogram a patient’s blood-forming stem cells to generate a continuous supply of functional T cells, the immune system’s most powerful cancer-killing agents. https://lnkd.in/eDwzaY3n

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𝐂𝐡𝐢𝐧𝐚 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐞𝐬 𝐭𝐨 𝐩𝐥𝐚𝐲 𝐭𝐡𝐞 𝐥𝐨𝐧𝐠 𝐠𝐚𝐦𝐞 … 𝐚𝐧𝐝 𝐰𝐞 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐞 𝐭𝐨 𝐦𝐢𝐬𝐬 𝐢𝐭.⁣ Earlier this year, NVIDIA’s Jensen Huang declared: “The ChatGPT moment for robotics is coming.” He is 100% correct.⁣ ⁣ AI has advanced in waves - first Perception AI (recognizing images, text, speech), then Generative AI (creating content), and now Agentic AI (autonomous systems able to perform complex tasks). Robotics is where these waves converge - AI that can perceive, reason, plan, and act in the physical world. ⁣ ⁣ With a $5T market potential by 2050 (Morgan Stanley), China holds the early mover advantage. On the supply side, China dominates. While installations fell in the U.S., EU, and Japan in 2024, China grew to 54% of the global market. In the first half of 2025, production surged another 35% year-on-year. On the demand side, China is shaping perception. Last week’s Humanoid Games (participants sourced from 280 teams across 16 countries - ALL using China-made robots) was a masterclass in narrative engineering. By showing robots stumble in races or miss punches in the ring, China is normalizing their presence and turning fear into familiarity with a technology poised to play a role in all facets of our lives.⁣ Here is the real risk - robots don’t just perform tasks. They see, hear, and record. They generate continuous data streams - the lifeblood of AI. If China controls access to both the machines and the data, it controls the next frontier of intelligence. Backdoors already discovered in some China-made robots underscore the risk: this is about access, surveillance, and trust.⁣ 𝐓𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐝𝐞𝐞𝐩𝐞𝐫 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐮𝐥𝐝 𝐰𝐨𝐫𝐫𝐲 𝐮𝐬: 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐭𝐡𝐞 𝐬𝐮𝐩𝐩𝐥𝐲, 𝐬𝐡𝐚𝐩𝐞 𝐭𝐡𝐞 𝐝𝐞𝐦𝐚𝐧𝐝 𝐚𝐧𝐝 𝐜𝐚𝐩𝐭𝐮𝐫𝐞 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚. 𝐖𝐞 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐚𝐬𝐤𝐢𝐧𝐠: 𝐰𝐡𝐨𝐬𝐞 𝐫𝐨𝐛𝐨𝐭𝐬 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐞𝐯𝐞𝐫𝐲𝐰𝐡𝐞𝐫𝐞, 𝐰𝐡𝐨𝐬𝐞 𝐝𝐚𝐭𝐚 𝐰𝐢𝐥𝐥 𝐭𝐡𝐞𝐲 𝐚𝐜𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐫𝐢𝐬𝐤 𝐝𝐨𝐞𝐬 𝐭𝐡𝐚𝐭 𝐞𝐱𝐩𝐨𝐬𝐞?⁣ ⁣ #Robotics #AI #Cyber

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Nvidia and Intel's Massive Collaboration The strategic view Nvidia's surprise $5 billion stake in Intel comes with a multiyear product roadmap -- and big implications for AI data centers and PCs. The implications are significant -- especially for Intel; the deal represents a much-needed endorsement at a critical moment in its turnaround. For Nvidia, the partnership offers ways to expand its platform beyond GPUs and into tighter integration with the dominant CPU architecture. Here are four things investors should know about this strategic partnership. 1. Infusing both capital and strategy Nvidia will purchase $5 billion of Intel stock at $23.28 per share, pending regulatory approvals. Alongside the equity investment, Intel will design custom x86 CPUs for Nvidia's AI platforms and develop x86 system-on-chips for PCs that integrate Nvidia RTX GPU chiplets via NVLink. 2. Data center implications The most immediate opportunity lies in the data center. Training and inference workloads depend on how quickly CPUs can feed data to GPUs. Nvidia says Intel will build NVIDIA-custom x86 CPUs designed to slot into its AI platforms. 3. Intel's business is still under pressure For Intel, the partnership also provides something less tangible but equally important: credibility. The company has endured years of declining margins and lost share in both data centers and PCs. Its manufacturing delays and product missteps left room for competitors like AMD and Arm Holdings-based chip designers to grow. 4. Implications for Intel investors Ultimately, Intel investors should applaud the collaboration. It's definitely good news. With this deal (assuming it's approved), Nvidia gains new ways to scale its platform across both data centers and PCs, and Intel gains a much-needed partner and a clearer roadmap to relevance in the AI era. My take: The challenge will be in execution. The chipmaker will need to show that design wins can translate into profitable volume. If Intel can successfully execute and scale on these product plans, the company could begin reporting substantial profits again, and the stock could rise even more. But there's no guarantee this happens, and it's going to require patience.

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AI didn’t invent the "confident lie." It just automated it at scale. We were promised a digital oracle. Instead, we got Tommy Flanagan. You know the one: Jon Lovitz’s legendary SNL character. You ask the AI for a market analysis, and it gives you a brilliant, detailed report, complete with fabricated citations and imaginary growth spikes. When you call it out (...if you call it out)? It doesn't blink. It just adjusts its tie and says: "Yeah! That’s the ticket!" In the AI world, we're calling this "hallucination." In reality? It’s just high-speed, high-confidence lying. Long before AI, it happened in the Boardroom, the Interview Room, the Oval Office, and certainly the bedroom. In 2026, we aren't just fighting the "Ghost in the Machine." We’re fighting the Con Artist in the Code. Why does the machine lie? - The "Helpful" Bias: AI is a digital yes-man. It feels "social pressure" to answer, even if the answer doesn't exist. And generally we like being praised. Plus when it fills in all the gaps, it feels like we're "done." - Pattern Overload: It sees trends in statistical noise. It’s "Apophenia as a Service." - The Next-Token Trap: It doesn't "know" facts; it predicts the vibe of a truthful sentence. The Fix? Don't fire the AI. Manage it like a brilliant, slightly delusional intern: - Tether the Beast: Use RAG to force it to look at verified data, not its "memory." - Prompt for Skepticism: Explicitly tell it: "If you are unsure, say so. Do not invent facts." It's true, you can really put this in your prompt...and it works! - Verify, Don't Trust: If it gives you a stat, check the math. If it gives a link, click it. You are the Conductor of this orchestra. AI is a world-class jazz musician playing a solo over a song it’s never heard before. It sounds great...until you try to build a business strategy on the melody. Enjoy the speed, but remember: the AI is always one prompt away from telling you it’s married to Morgan Fairchild. "Yeah... that's the ticket." #GenerativeAI #AIHallucinations #TechLeadership #RAG #FutureOfWork #TommyFlanagan

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Thrilled to share that a Digital Twin Framework (ExaDigiT), developed in partnership with Hewlett Packard Enterprise, is a first-of-its-kind digital twin for supercomputer data centers like Oak Ridge National Laboratory’s Frontier. ExaDigiT combines workload, power, and cooling modeling with interactive dashboards, enabling optimization, what-if analysis, and virtual prototyping tailored to each system. Already in use on leadership-class systems worldwide — this innovation is transforming how we model, manage, and optimize supercomputing infrastructure. Huge congratulations to the incredible teams at ORNL and HPE who made this milestone possible! https://lnkd.in/gcA_idVa

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On August 7, Dinesh Nirmal Senior Vice President, IBM, joined Office of California Governor Gavin Newsom and leaders from Microsoft, Google, and Adobe, as California announced new partnerships to prepare students for #AIcareers. IBM’s initiative will integrate AI into community college programs, expand faculty training, and provide industry-recognized credentials through IBM SkillsBuild, helping build a more future-ready workforce across the state. #TechforGood #workplacematters #ProudIBMer #UCLAQuantum https://lnkd.in/gdJpM9rr

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Excited to share two advances that bring us closer to real-world impact in healthcare AI: SDBench introduces a new benchmark that transforms 304 NEJM cases into interactive diagnostic simulations. AI must ask questions, order tests, and weigh costs, mirroring the complexity of real clinical decision-making. MAI-DxO is a model-agnostic orchestrator that simulates a panel of virtual physicians. It achieves 85.5% diagnostic accuracy—four times that of experienced doctors—while cutting diagnostic costs. Together, these advances offer a blueprint for how AI can help deliver precision and efficiency in healthcare, and we're looking forward to working with healthcare partners and the entire ecosystem on these advances making a difference. https://lnkd.in/gd5nd4qF

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In the region, waiting for 100% of the data is a luxury few leaders can afford. The markets move too fast. The key: identify the critical signals, combine them with your experience and then act decisively. Technology: analytics, AI and connected systems amplify your ability to see patterns, anticipate outcomes and guide teams. Commit to the outcome, not endless planning. That’s how leaders in the region turn uncertainty into advantage.

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💡Industries are scaling AI like never before. To help organizations extract maximum value, NVIDIA systems are built to deliver unmatched performance at AI factory scale. ⚙️ The latest InferenceMAX v1 benchmarks confirm: 💥 10× more performance per watt, translating to lower costs and greater energy efficiency 📈 15x more ROI across manufacturing, energy, healthcare, and beyond. Learn more: https://bit.ly/48w4UyM

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What does the future of work look like with AI leading the charge? 🌟 Multi-agent teams, quantum computing, and agentic AI systems aren’t just concepts for tomorrow—they’re shaping businesses and careers today. Dell Technologies’ Global CTO and Chief AI Officer, John Roese, sits down with Jon Krohn to explore how AI-driven systems are revolutionizing task automation, redefining security protocols, and unlocking new career paths in tech and beyond. 💡 Discover how you can use AI to sharpen business ideas and meet evolving challenges. 🎥 Learn more in this insightful conversation. Watch now: https://del.ly/604243QAM #AI #QuantumComputing #FutureOfWork #Innovation #HumanProgress #iwork4dell

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Our CEO Jensen Huang joined Y.L. Wang, TSMC vice president of operations, and Ray Chuang, CEO of TSMC Arizona, in Phoenix today to celebrate the first NVIDIA Blackwell wafer produced in the United States. This achievement marks a huge step forward in paving the way for sustained American leadership in AI. Onshoring world-class chipmaking to American soil is crucial to meeting the growing demand for AI. Within the next four years, NVIDIA plans to produce up to one-half-trillion dollars of AI infrastructure in the U.S. — collaborating with TSMC, Foxconn, Wistron, Amkor Technology, Inc., and SPIL 矽品. Manufacturing the world’s AI technology stack in America will fuel innovation and bolster the US supply chain. The production of American AI factories is projected to create hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades. Read more: https://bit.ly/4qqrb7M

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